Title :
Iterative Learning in Electromagnetic Vibrating Machine Amplitude Control
Author_Institution :
Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
The iterative learning control is applied to electromagnetic vibrating machine in blending system, which executes the same task repeatedly over a finite time-interval. The iterative learning controller of electromagnetic vibrating machine amplitude is provided and the convergence analysis is also given. This technique uses the operation information in blending system and enables the tracking performance better from operation to operation without any model information. It also can suppress the effect of repetitive external disturbance. The experiment results show that the desired amplitude can be acquired and it fits to high precise blending system.
Keywords :
adaptive control; blending; convergence of numerical methods; electromagnetic devices; iterative methods; learning systems; vibration control; blending system; convergence analysis; electromagnetic vibrating machine; iterative learning control; machine amplitude control; Chemical industry; Construction industry; Control systems; Convergence; Electrical equipment industry; Electromagnetic analysis; Electromagnetic forces; Food industry; Industrial control; Machine learning; Electromagnetic Vibrating Machine; amplitude control; blending system; iterative learning control;
Conference_Titel :
Intelligent Interaction and Affective Computing, 2009. ASIA '09. International Asia Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3910-2
Electronic_ISBN :
978-1-4244-5406-8
DOI :
10.1109/ASIA.2009.18
